glm-4.5v

GLM-4.5V is a high-capacity multimodal foundation model designed specifically for developers building vision-centric agentic workflows. Moving beyond simple image captioning, this model leverages a Mixture-of-Experts (MoE) architecture—utilizing 106B total parameters with a highly efficient 12B active parameter count—to balance deep reasoning with inference speed. For developers, the primary value lies in its sophisticated video understanding and spatial reasoning capabilities, making it a strong candidate for complex automation tasks like UI navigation, video analysis, and real-time visual monitoring. Compared to monolithic dense models, its MoE structure offers a more granular approach to processing diverse visual inputs, providing a scalable backbone for applications requiring high-fidelity multimodal integration via API. It is particularly suited for developers looking to bridge the gap between raw visual data and actionable logic in autonomous agent systems.